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Publikováno v:
IEEE transactions on biomedical circuits and systems [IEEE Trans Biomed Circuits Syst] 2023 Oct; Vol. 17 (5), pp. 1084-1096. Date of Electronic Publication: 2023 Nov 21.
Publikováno v:
IEEE transactions on biomedical circuits and systems [IEEE Trans Biomed Circuits Syst] 2021 Feb; Vol. 15 (1), pp. 2-28. Date of Electronic Publication: 2021 Mar 30.
Autor:
Lunet Yifru, Ali Baheri
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 266-281 (2024)
Reinforcement learning (RL) has revolutionized decision-making across a wide range of domains over the past few decades. Yet, deploying RL policies in real-world scenarios presents the crucial challenge of ensuring safety. Traditional safe RL approac
Externí odkaz:
https://doaj.org/article/825cbb00adc845448830631f719dba79
Autor:
Muhammad Nadeem, Ahmad F. Taha
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 253-265 (2024)
This paper presents a new approach to approximate the AC optimal power flow (ACOPF). By eliminating the need to solve the ACOPF every few minutes, the paper showcases how a realtime feedback controller can be utilized in lieu of ACOPF and its variant
Externí odkaz:
https://doaj.org/article/ecf6335959b9476687c969295d068ddd
Autor:
Gianluca Bianchin, Fabio Pasqualetti
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 239-252 (2024)
Advanced traffic navigation systems, which provide routing recommendations to drivers based on real-time congestion information, are nowadays widely adopted by roadway transportation users. Yet, the emerging effects on the traffic dynamics originatin
Externí odkaz:
https://doaj.org/article/6624b85b7fdc444d9136b15d093f18af
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 225-238 (2024)
This paper formally develops robust optimal predictive control solutions that can accommodate disturbances and stabilize periodic legged locomotion. To this end, we build upon existing optimization-based control paradigms, particularly quadratic prog
Externí odkaz:
https://doaj.org/article/b6c0b9bc9246411c9e69621d8fa9ad80
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 202-213 (2024)
This paper considers the change point detection problem under dependent samples. In particular, we provide performance guarantees for the MMD-CUSUM test under exponentially $\alpha$, $\beta$, and fast $\phi$-mixing processes, which significantly expa
Externí odkaz:
https://doaj.org/article/092aa38168eb41c0a471e140f787a5f3
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 214-224 (2024)
Self-excited systems (SES) arise in numerous applications, such as fluid-structure interaction, combustion, and biochemical systems. In support of system identification and digital control of SES, this paper analyzes discrete-time Lur'e systems with
Externí odkaz:
https://doaj.org/article/2ed6e2582a1c4704add41ceb63f0cc02
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 173-189 (2024)
The Hessian matrix conveys important information about the curvature, spectrum and partial derivatives of a function, and is required in a variety of tasks. However, computing the exact Hessian is prohibitively expensive for high-dimensional input sp
Externí odkaz:
https://doaj.org/article/e6ed8656371a4013965fbd49f7b93854
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 158-172 (2024)
This paper addresses learning safe output feedback control laws from partial observations of expert demonstrations. We assume that a model of the system dynamics and a state estimator are available along with corresponding error bounds, e.g., estimat
Externí odkaz:
https://doaj.org/article/3c2fe38e54d74bdf8cb9d1e737ce7f38